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03 May 2006

Comments

Joe Doherty

I can also recommend John Fox "Cox Proportional-Hazards Regression for Survival Data" (2002) which is available here: http://cran.r-project.org/doc/contrib/Fox-Companion/appendix-cox-regression.pdf

It is an S-Plus/R implementation, and has an excellent section on diagnostics. It is much easier to implement survival analysis with time-dependent variables in R than in SPSS.

William Henderson

Chris offers three books; he is also also better qualified to answer this question.

But I have one more source, however, that is shorter and might be a good primer: Raymond E. Wright, Survival Analysis, in Reading and Understanding More Multivariate Statistics Ch. 11, 363-407 (Laurence G. Grimm & Paul R. Yarnold, eds., 2000).

Wright is (or was at the time) a research scientist with SPSS, Inc. The chapter is written as primer, uses example applications, and contains a detailed glossary and bibliography.

Christopher Zorn

Box–Steffensmeier, Janet M., and Bradford S. Jones. 2004. Event History Modeling: A Guide for Social Scientists. New York: Cambridge University Press.

Collett, Dave. 2003. Modeling Survival Data in Medical Research, 2nd Ed. London: Chapman & Hall.

Hosmer, David, and Stanley Lemeshow. 1999. Applied Survival Analysis: Regression Modeling of Time to Event Data. New York: Wiley.

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